IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems

TL;DR

IXAII is an interactive AI explanation system that offers tailored, multi-method explanations to enhance transparency and user engagement in decision support contexts.

Contribution

We introduce IXAII, a novel interactive interface integrating multiple explainable AI methods with user-specific views and control, addressing limitations of static explanations.

Findings

Users found IXAII helpful for understanding AI decisions

Interactivity increased user trust and transparency

Multiple visualization options improved explanation clarity

Abstract

Although several post-hoc methods for explainable AI have been developed, most are static and neglect the user perspective, limiting their effectiveness for the target audience. In response, we developed the interactive explainable intelligent system called IXAII that offers explanations from four explainable AI methods: LIME, SHAP, Anchors, and DiCE. Our prototype provides tailored views for five user groups and gives users agency over the explanations' content and their format. We evaluated IXAII through interviews with experts and lay users. Our results indicate that IXAII, which provides different explanations with multiple visualization options, is perceived as helpful to increase transparency. By bridging the gaps between explainable AI methods, interactivity, and practical implementation, we provide a novel perspective on AI explanation practices and human-AI interaction.